Senior AI Developer

Founding AI Engineer (Senior)

About the Role

We’re a stealth AI startup in Ahmedabad. As Founding AI Engineer, you will design and ship LLM-powered agents and RAG pipelines with rigorous evals, safety, and reliability, then shape the platform architecture across BE / FE and help hire the AI team.

Read this first : This is a startup role. In intense weeks, expect 10–12 hours / day. You’ll be a founding team member and will be rewarded for early contribution (performance bonuses).

What You’ll Do :

Design & implement LLM agents and RAG pipelines with measurable quality.

Own MLOps : datasets, eval harnesses (quality / latency / cost), prompt governance.

Productionize inference paths with guardrails, fallbacks, observability, and cost controls.

Partner with Product on problem → spec → ship; run experiments and measure ROI.

Influence system architecture across backend / frontend; set engineering standards.

Create internal tooling for offline / online evals, red / blue tests, and A / B experiments.

What You’ll Bring :

5 to 8+ years total engineering; 2+ years applied LLM / GPT work shipped to prod.

Proven rigor with evals (precision / recall, factuality / hallucination rate), latency SLOs, and cost tracking.

Strong in one primary stack : Python + PyTorch + FastAPI (or equivalent).

Experience with retrieval, vector stores, prompt / tool orchestration, and observability.

Bonus : retrieval tuning, tools / agents, finetuning / LoRA, RLHF; Web3 / fintech exposure a plus.

Onsite in Ahmedabad; comfortable with 10–12h launch weeks when needed.

Why Join UsGreenfield system—your decisions set the standard.

Direct access to design partners; ship features used the same week.

Competitive salary + performance bonuses; in-office, focused craft culture.

Tech / Stack

Python, PyTorch, FastAPI, OpenAI / Anthropic + local models, LangChain / LlamaIndex, Vector DB (pgvector / Milvus / FAISS), Postgres, Redis, Docker, Kubernetes, Observability (Grafana / Prometheus, OpenTelemetry), CI / CD, feature flags.

Must-Have Skills

LLMs

• Agents
• RAG
• MLOps
• Prompt Engineering
• Evals
• Python
• PyTorch
• FastAPI
• Vector Databases
• Postgres / Redis
• Observability
• Cost & Latency Optimization
• Production AI

Nice-to-Have Skills

Finetuning / LoRA